Demographics details for Springfield, OR vs Webster, SD
Population Overview
Compare main population characteristics in Springfield, OR vs Webster, SD.
| Data | Springfield | Webster |
|---|---|---|
| Population | 61,400 | 1,714 |
| Median Age | 37.3 years | 42.8 years |
| Median Income | $60,982 | $50,500 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Springfield vs Webster
- In Springfield, the population is higher at 61,400, compared to 1,714 in Webster.
- The median age in Webster is higher at 42.8 years, compared to 37.3 years in Springfield.
- Springfield has a higher median income of $60,982 compared to $50,500 in Webster.
- A higher percentage of married families is found in Springfield at 36.0% compared to 34.0% in Webster.
- Springfield has a higher poverty level at 10% compared to 9% in Webster.
- The unemployment rate in Springfield is higher at 4.1%, compared to 3.2% in Webster.
Demographics
Demographics Springfield vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Webster |
|---|---|---|
| Black | 1 | Data is updating |
| White | 73 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 14 | 3 |
| Two or More Races | 9 | 1 |
| American Indian | 1 | 2 |
Demographics Comparison: Springfield vs Webster
- A higher percentage of Black residents are in Springfield at 1% compared to 0% in Webster.
- The percentage of White residents is higher in Webster at 94% compared to 73% in Springfield.
- The Asian population is larger in Springfield at 2% compared to 0% in Webster.
- The Hispanic community is larger in Springfield at 14% compared to 3% in Webster.
- More residents identify as two or more races in Springfield at 9% compared to 1% in Webster.
- In Webster, the percentage of American Indian residents is higher at 2%, compared to 1% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Webster |
|---|---|---|
| Mental Health Not Good | 19.8% | 14.7% |
| Physical Health Not Good | 13.3% | 10.6% |
| Depression | 28.9% | 18.7% |
| Smoking | 16.8% | 20.1% |
| Binge Drinking | 16.9% | 20.1% |
| Obesity | 36.4% | 39.0% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Springfield vs Webster
- More residents in Springfield report poor mental health at 19.8% compared to 14.7% in Webster.
- Depression is more prevalent in Springfield at 28.9% compared to 18.7% in Webster.
- Webster has a higher smoking rate at 20.1% compared to 16.8% in Springfield.
- More residents engage in binge drinking in Webster at 20.1% compared to 16.9% in Springfield.
- Webster has higher obesity rates at 39.0% compared to 36.4% in Springfield.
- Disability percentages are higher in Springfield at 20.0% compared to 14.0% in Webster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Webster |
|---|---|---|
| No Schooling | 0.9% (528) | 0.0% (Data is updating) |
| High School Diploma | 14.9% (9,128) | 21.9% (375) |
| Less than High School | 14.4% (8,821) | 12.6% (216) |
| Bachelor's Degree and Higher | 14.2% (8,749) | 14.8% (253) |
Education Levels Comparison: Springfield vs Webster
- A higher percentage of residents in Springfield have no formal schooling at 0.9% compared to 0.0% in Webster.
- In Webster, the rate of residents with high school diplomas is higher at 21.9% compared to 14.9% in Springfield.
- More residents in Springfield have less than a high school education at 14.4% compared to 12.6% in Webster.
- In Webster, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 14.2% in Springfield.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.